基于粗糙集理论的图像平滑算法研究

IMAGE SMOOTHING BASED ON ROUGH SETS

基于粗糙集理论,针对高斯噪声和脉冲噪声,分别采用高斯模板和中值滤波技术,提出了图像平滑算法。这两种算法在去噪的同时,都能够很好地保持图像细节,并且简单易行、处理速度快、使用范围广。通过实验,该算法对灰度图像和彩色图像的处理效果较之传统的处理方法,质量上有较大的提高。

Considering gauss noise and impulse noise, an image smoothing algorithm is presented based on rough sets. Two methods, gauss template and median filter, are adopted. While denoising, the two simple methods keep good details. They run quickly and can be used to filter all sorts of noises. The experimental result shows that the algorithm performs better than the conventional processing methods in gray and colourful pictures processing, and better quality is achieved.